Browsing by Author "Amira, Abbes"
Now showing items 1-7 of 7
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An Accurate Ensemble Classifier for Medical Volume Analysis: Phantom and Clinical PET Study
Sharif, Mhd Saeed; Abbod, M.; Al-Bayatti, Ali Hilal; Amira, Abbes; Alfakeeh, Ahmed; Sanghera, B. (Article)The predominant application of positron emission tomography (PET) in the field of oncology and radiotherapy and the significance of medical imaging research have led to an urgent need for effective approaches to PET volume ... -
Heterogeneous System-on-Chip based Lattice-Boltzmann Visual Simulation System
Amira, Abbes; Zhai, X.; Chen, M.; Esfahani, S.S.; Bensaali, F.; Abinahed, J.; Dakua, S.; Richardson, R.A.; Coveney, P.V. (Article)Cerebral aneurysm is a cerebrovascular disorder caused by a weakness in the wall of an artery or vein, that causes a localised dilation or ballooning of the blood vessel. It is life-threatening, hence an early and accurate ... -
Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping
Amira, Abbes; Dakua, S.P.; Abinahed, J.; Zakaria, A.; Balakrishnan, S.; Younes, G.; Navkar, N.; Al-Ansari, A.; Zhai, X.; Bensaali, F. (Article)Surgical procedures such as laparoscopic and robotic surgeries are popular since they are invasive in nature and use miniaturized surgical instruments for small incisions. Tracking of the instruments (graspers, needle ... -
Real-time ECG Monitoring using Compressive sensing on a Heterogeneous Multicore Edge-Device
Amira, Abbes; Djelouat, H.; Bensaali, F.; Kotronis, C.; Politi, E.; Nikolaidou, M.; Dimitrakopoulos, G. (Article)In a typical ambulatory health monitoring systems, wearable medical sensors are deployed on the human body to continuously collect and transmit physiological signals to a nearby gateway that forward the measured data to ... -
Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree
Himeur, Y.; Alsalemi, A.; Bensaali, F.; Amira, Abbes (Article)Providing the user with appliance-level consumption data is the core of each energy efficiency system. To that end, non-intrusive load monitoring is employed for extracting appliance specific consumption data at a low ... -
Surface Defect Detection Using YOLO Network
Hatab, Muhieddine; Malekmohamadi, Hossein; Amira, Abbes (Conference)Detecting defects on surfaces such as steel can be a challenging task because defects have complex and unique features. These defects happen in many production lines and differ between each one of these production lines. ... -
Vehicle detection and classification in difficult environmental conditions using deep learning
Darmanin, Alessio; Malekmohamadi, Hossein; Amira, Abbes (Conference)The time drivers spend stuck in traffic is increasing annually, on a global level. Time lost in traffic imposes costs both economically and socially. Tracking congestion throughout the road network is critical in an ...